Publications

Jongmin Lee, LG AI Research (2025). Exaone 4.0 VL: Vision-Language Foundation Model for Enterprise AI Agent. LG AI Talk Concert 2025.

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Jongmin Lee, Minsu Cho (2024). 3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction. In NeurIPS 2024.

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Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho (2023). Learning Rotation-Equivariant Features for Visual Correspondence. In CVPR 2023.

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Jongmin Lee, Byungjin Kim, Minsu Cho (2022). Self-Supervised Equivariant Learning for Oriented Keypoint Detection. In CVPR 2022.

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Jongmin Lee, Yoonwoo Jeong, Minsu Cho (2021). Self-supervised Learning of Image Scale and Orientation Estimation. In BMVC 2021.

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Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho (2021). Learning to Distill Convolutional Features Into Compact Local Descriptors. In WACV 2021.

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Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho (2020). Learning to Compose Hypercolumns for Visual Correspondence. In ECCV 2020.

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Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho (2020). Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features. In ICCV 2019.

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Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho (2018). Attentive Semantic Alignment with Offset-Aware Correlation Kernels. In ECCV 2018.

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